Instructions to use FacebookAI/roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-large") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08b9a19279e22170e0af792dc8419d61b2a4fb1eb1a84676b0010de80a22d1a7
- Size of remote file:
- 1.63 GB
- SHA256:
- cd19cb4d52d5c845eafa38e067cc321d73238346d29aed213b5517ad5df37da4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.